HOSSNet: An efficient physics-guided neural network for simulating micro-crack propagation-Reference-Cited by-同舟云学术

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HOSSNet: An efficient physics-guided neural network for simulating micro-crack propagation

Published:2024-03 Issue: Volume:236 Page:112846
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Chen Shengyu^ORCID,Feng Shihang,Huang Yao,Lei Zhou,Jia Xiaowei^ORCID,Lin Youzuo,Rougier Esteban^ORCID

Funder

Laboratory Directed Research and Development

Los Alamos National Laboratory

Publisher

Elsevier BV

Reference58 articles.

1. Fracture and Size Effect in Concrete and Other Quasibrittle Materials;Bazant,2019

2. Crack Growth and Development of Fracture Zones in Plain Concrete and Similar Materials;Petersson,1981

3. Fracture Process Zone: Microstructure And Nanomechanics in Quasi-Brittle Materials;Brooks,2013

4. Structural geometry, fracture process zone and fracture energy;Veselỳ,2007

5. The Fracture of Brittle Materials: Testing and Analysis;Freiman,2019

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